A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data

The paper is devoted to the development of a statistical framework for air quality assessment at the country level and for the evaluation of the ambient population exposure and risk with respect to airborne pollutants. The framework is based on a multivariate space–time model and on aggregated indic...

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Detalles Bibliográficos
Autores principales: Finazzi, Francesco, Scott, E Marian, Fassò, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600869/
https://www.ncbi.nlm.nih.gov/pubmed/23518479
http://dx.doi.org/10.1111/rssc.12001
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author Finazzi, Francesco
Scott, E Marian
Fassò, Alessandro
author_facet Finazzi, Francesco
Scott, E Marian
Fassò, Alessandro
author_sort Finazzi, Francesco
collection PubMed
description The paper is devoted to the development of a statistical framework for air quality assessment at the country level and for the evaluation of the ambient population exposure and risk with respect to airborne pollutants. The framework is based on a multivariate space–time model and on aggregated indices defined at different levels of aggregation in space and time. The indices are evaluated, uncertainty included, by considering both the model outputs and the information on the population spatial distribution. The framework is applied to the analysis of air quality data for Scotland for 2009 referring to European and Scottish air quality legislation.
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spelling pubmed-36008692013-03-19 A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data Finazzi, Francesco Scott, E Marian Fassò, Alessandro J R Stat Soc Ser C Appl Stat Original Articles The paper is devoted to the development of a statistical framework for air quality assessment at the country level and for the evaluation of the ambient population exposure and risk with respect to airborne pollutants. The framework is based on a multivariate space–time model and on aggregated indices defined at different levels of aggregation in space and time. The indices are evaluated, uncertainty included, by considering both the model outputs and the information on the population spatial distribution. The framework is applied to the analysis of air quality data for Scotland for 2009 referring to European and Scottish air quality legislation. Blackwell Publishing Ltd 2013-03 /pmc/articles/PMC3600869/ /pubmed/23518479 http://dx.doi.org/10.1111/rssc.12001 Text en © 2013 Royal Statistical Society http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Articles
Finazzi, Francesco
Scott, E Marian
Fassò, Alessandro
A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
title A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
title_full A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
title_fullStr A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
title_full_unstemmed A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
title_short A model-based framework for air quality indices and population risk evaluation, with an application to the analysis of Scottish air quality data
title_sort model-based framework for air quality indices and population risk evaluation, with an application to the analysis of scottish air quality data
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600869/
https://www.ncbi.nlm.nih.gov/pubmed/23518479
http://dx.doi.org/10.1111/rssc.12001
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